Comparing the Efficiency of Minutia Based and Improved Fingercode Fingerprint Algorithm

A biometric authentication system operates by acquiring bio-metric data from a user and comparing it against the template data stored in a database in order to determine the identity of an individual. Among all the biometric techniques fingerprint-based identification is the oldest method and is the most popular approach having successfully used in numerous applications. Everyone is known to have unique, immutable fingerprints. The uniqueness of a fingerprint can be determined by the pattern of ridges, by minutiae points and as well as by reference points. In this research study two most widely used algorithms namely improved fingercode for filterbank based fingerprint matching algorithm and minutia based algorithm are discussed for identification of fingerprints and their performance was evaluated in terms of execution time taken by each algorithm for identification, storage and matching. The experimental results obtained from the study shows that the improved fingercode for filterbank based fingerprint matching algorithm has in general a better performance than minutia based matching algorithm in terms of above mentioned parameters. Keywords-Biometric, fingerprint identification, feature extraction, minutiae points, reference point, improved fingercode for filterbank based fingerprint matching algorithm, minutia based matching algorithm.